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Deep Networks With Large Output Spaces
Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay
Yagnik
International Conference on Learning Representations (2015)
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Discriminative Segment Annotation in Weakly Labeled
Video
Kevin Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei
Proceedings of International Conference on Computer Vision and Pattern
Recognition (CVPR 2013)
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Fast, Accurate Detection of 100,000 Object Classes
on a Single Machine
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
Computer Society, Washington, DC, USA (2013)
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Fast, Accurate Detection of 100,000 Object Classes
on a Single Machine: Technical Supplement
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
Computer Society, Washington, DC, USA (2013)
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The Power of Comparative Reasoning
Jay Yagnik, Dennis Strelow, David Ross, Ruei-Sung Lin
International Conference on Computer Vision, IEEE (2011)
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A Large-Scale Taxonomic Classification System for Web-based Videos
Yang Song, Ming Zhao, Reto Strobl, John Zhang, Jay Yagnik
the 11th European Conference on Computer Vision (ECCV 2010)
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Finding Meaning on YouTube: Tag Recommendation and
Category Discovery
George Toderici, Hrishikesh Aradhye, Marius Pasca, Luciano Sbaiz, Jay Yagnik
Computer Vision and Pattern Recognition, IEEE (2010)
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SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Ruei-Sung Lin, David A. Ross, Jay Yagnik
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2010)
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Taxonomic Classification for Web-based Videos
Yang Song, Ming Zhao, Jay
Yagnik, Xiaoyun Wu
IEEE Conf on Computer Vision and Pattern Recognition (CVPR), IEEE (2010)
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Adaptive, selective, automatic tonal enhancement of faces
Hrishikesh Aradhye, George D. Toderici, Jay Yagnik
ACM Multimedia, ACM, New York, NY, USA (2009), pp. 677-680
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Automatic, Efficient, Temporally-Coherent Video
Enhancement for Large Scale Applications
George Toderici, Jay Yagnik
ACM Multimedia, ACM (2009), pp. 609-612
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Tour the world: a technical demonstration of a web-scale landmark recognition
engine
Yan-Tao Zheng, Ming Zhao, Yang Song, Hartwig
Adam, Ulrich Buddemeier, Alessandro
Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven, Jay
Yagnik
MM '09: Proceedings of the seventeen ACM international conference on Multimedia,
ACM, New York, NY, USA (2009), pp. 961-962
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Video2Text: Learning to Annotate Video Content
Hrishikesh Aradhye, George Toderici, Jay Yagnik
ICDM Workshop on Internet Multimedia Mining (2009)
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Large Scale Learning and Recognition of Faces in Web Videos
Ming Zhao, Jay Yagnik, Hartwig
Adam, David Bau
FG2008
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Solving the label resolution problem in supervised video content classification
Ullas Gargi, Jay Yagnik
MIR '08: Proceeding of the 1st ACM international conference on Multimedia
information retrieval, ACM, New York, NY, USA (2008), pp. 276-282
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Video Suggestion and Discovery for YouTube: Taking Random Walks Through the View
Graph
Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar
Kumar, Deepak Ravichandran, Mohamed Aly
WWW-2008
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Learning people annotation from the web via consistency learning
Jay Yagnik, Atig Islam
Proc. international Workshop on Multimedia Information Retrieval, ACM, Augsberg,
Germany (2007), pp. 285-290
